An enhanced scheme for lossless compression of short text for resource constrained devices

Text compression is an elementary concern for data engineering and management. The rapid use of battery powered small memory smart devices especially; mobile phones and wireless sensors for communication and monitoring have turned short text compression into a more important and prevailing research arena than large scale text compression. In this paper, we present an effective approach of short English text compression for smart devices. This paper also provides a review on recent research on text data compression. The main target of this research is to provide a light-weight compression scheme which is computationally simple and the storage required for compressing the source text is also lower. The main contribution of this paper is the integration of statistical text ranking or statistical component categorization with static coding in obtaining the compression. We have also presented a mathematical model of our proposed scheme in terms of compression parameters. The obtained compression ratio indicates a better performance in terms of resource consumption including better compression ratio, lower compression and decompression time with reduced memory requirements and lower complexity. This paper also incorporates an extensive analysis on power consumption for presented scheme. In overall analysis, the simplicity of computational requirement encompasses the compression effective and efficient.